AI Data Validation Framework

A comprehensive Python-based validation framework for ensuring data quality in AI agent training datasets. This framework checks data completeness, format integrity, consistency, and quality metrics specifically tailored for AI/ML applications.

Features

• Completeness Validation: Missing values, required columns, empty records
• Format Validation: Data types, string patterns, date formats
• Consistency Validation: Value ranges, categorical values, foreign key relations
• Quality Validation: Class balance, feature correlation, outlier detection
• Comprehensive Reporting: Multiple output formats (console, JSON, HTML)
• Extensible Architecture: Easy to add custom validators

Installation

git clone https://github.com/qshytpolite/ai-data-validator.git
cd ai-data-validator
pip install -r requirements.txt